Connection
Maki Nakayama to Insulin
This is a "connection" page, showing publications Maki Nakayama has written about Insulin.
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Connection Strength |
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2.299 |
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Anderson AM, Landry LG, Alkanani AA, Pyle L, Powers AC, Atkinson MA, Mathews CE, Roep BO, Michels AW, Nakayama M. Human islet T cells are highly reactive to preproinsulin in type 1 diabetes. Proc Natl Acad Sci U S A. 2021 10 12; 118(41).
Score: 0.394
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Landry LG, Anderson AM, Russ HA, Yu L, Kent SC, Atkinson MA, Mathews CE, Michels AW, Nakayama M. Proinsulin-Reactive CD4 T Cells in the Islets of Type 1 Diabetes Organ Donors. Front Endocrinol (Lausanne). 2021; 12:622647.
Score: 0.379
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Michels AW, Landry LG, McDaniel KA, Yu L, Campbell-Thompson M, Kwok WW, Jones KL, Gottlieb PA, Kappler JW, Tang Q, Roep BO, Atkinson MA, Mathews CE, Nakayama M. Islet-Derived CD4 T Cells Targeting Proinsulin in Human Autoimmune Diabetes. Diabetes. 2017 03; 66(3):722-734.
Score: 0.281
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Nakayama M, Castoe T, Sosinowski T, He X, Johnson K, Haskins K, Vignali DA, Gapin L, Pollock D, Eisenbarth GS. Germline TRAV5D-4 T-cell receptor sequence targets a primary insulin peptide of NOD mice. Diabetes. 2012 Apr; 61(4):857-65.
Score: 0.201
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Nakayama M. Insulin as a key autoantigen in the development of type 1 diabetes. Diabetes Metab Res Rev. 2011 Nov; 27(8):773-7.
Score: 0.198
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Michels AW, Nakayama M. The anti-insulin trimolecular complex in type 1 diabetes. Curr Opin Endocrinol Diabetes Obes. 2010 Aug; 17(4):329-34.
Score: 0.181
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Nakayama M, Abiru N, Moriyama H, Babaya N, Liu E, Miao D, Yu L, Wegmann DR, Hutton JC, Elliott JF, Eisenbarth GS. Prime role for an insulin epitope in the development of type 1 diabetes in NOD mice. Nature. 2005 May 12; 435(7039):220-3.
Score: 0.126
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Nakayama M, Moriyama H, Abiru N, Babu SR, Sikora K, Li M, Miao D, Hutton JC, Elliott JF, Eisenbarth GS. Establishment of native insulin-negative NOD mice and the methodology to distinguish specific insulin knockout genotypes and a B:16 alanine preproinsulin transgene. Ann N Y Acad Sci. 2004 Dec; 1037:193-8.
Score: 0.122
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Baker RL, Rihanek M, Hohenstein AC, Nakayama M, Michels A, Gottlieb PA, Haskins K, Delong T. Hybrid Insulin Peptides Are Autoantigens in Type 1 Diabetes. Diabetes. 2019 09; 68(9):1830-1840.
Score: 0.084
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Wang Y, Sosinowski T, Novikov A, Crawford F, White J, Jin N, Liu Z, Zou J, Neau D, Davidson HW, Nakayama M, Kwok WW, Gapin L, Marrack P, Kappler JW, Dai S. How C-terminal additions to insulin B-chain fragments create superagonists for T cells in mouse and human type 1 diabetes. Sci Immunol. 2019 04 05; 4(34).
Score: 0.083
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Nakayama M, Simmons KM, Michels AW. Molecular Interactions Governing Autoantigen Presentation in Type 1 Diabetes. Curr Diab Rep. 2015 Dec; 15(12):113.
Score: 0.066
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Crawford F, Stadinski B, Jin N, Michels A, Nakayama M, Pratt P, Marrack P, Eisenbarth G, Kappler JW. Specificity and detection of insulin-reactive CD4+ T cells in type 1 diabetes in the nonobese diabetic (NOD) mouse. Proc Natl Acad Sci U S A. 2011 Oct 04; 108(40):16729-34.
Score: 0.049
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Zhang L, Jin N, Nakayama M, O'Brien RL, Eisenbarth GS, Born WK. Gamma delta T cell receptors confer autonomous responsiveness to the insulin-peptide B:9-23. J Autoimmun. 2010 Jun; 34(4):478-84.
Score: 0.044
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Zhang L, Jasinski JM, Kobayashi M, Davenport B, Johnson K, Davidson H, Nakayama M, Haskins K, Eisenbarth GS. Analysis of T cell receptor beta chains that combine with dominant conserved TRAV5D-4*04 anti-insulin B:9-23 alpha chains. J Autoimmun. 2009 Aug; 33(1):42-9.
Score: 0.041
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Zhang L, Gianani R, Nakayama M, Liu E, Kobayashi M, Baschal E, Yu L, Babu S, Dawson A, Johnson K, Jahromi M, Aly T, Fain P, Barker J, Rewers M, Eisenbarth GS. Type 1 diabetes: chronic progressive autoimmune disease. Novartis Found Symp. 2008; 292:85-94; discussion 94-8, 122-9, 202-3.
Score: 0.038
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Michels AW, Ostrov DA, Zhang L, Nakayama M, Fuse M, McDaniel K, Roep BO, Gottlieb PA, Atkinson MA, Eisenbarth GS. Structure-based selection of small molecules to alter allele-specific MHC class II antigen presentation. J Immunol. 2011 Dec 01; 187(11):5921-30.
Score: 0.012
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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